AI auditBeauty brands
A 4-week audit for beauty brands. You get a verdict on each of your priority processes, a business case, and 1 prioritized plan, with an agent specification when building one is justified.
A paid, fixed-scope engagement, quoted after the scoping call · building an agent is scoped separately
Other verdicts, same readout
The Outcoast team built their expertise working with
3 places to look first
We assess each process using the same criteria: what it costs today, what an agent changes, and how time and quality are measured before anything is built.
Numbers from nowhere end up in a launch plan or a leadership deck.
An agent groups what consumers ask in reviews, social and search, and shows how ChatGPT, Gemini, Claude and Perplexity answer those questions, and which brands they name.
TimeHours from a question to a sourced insight.
QualityShare of numbers traced to a dated source.
Generic copy, an off-brand tone, claims out of bounds, caught late in review.
An agent holds your guidelines, approved claims and voice, and checks every draft before a person reads it.
TimeHours to first credible draft.
QualityFirst-pass approval rate.
Every dashboard tells a different story, and hours go into reading them.
An agent reads store, ads and creator data every week and proposes 1 action, with the evidence and a draft for your review.
TimeHours from the numbers to a decision.
QualityReporting discrepancies reconciled.
Illustrative · the audit sets these readings on your own processes before anything is built. Hours come from your write-ups, checked in the walk-throughs, and from system data where it exists.
The problem
Some teams have approved tools, others personal accounts. Results vary, and there is no shared basis for deciding what deserves an investment.
Illustrative · 1 of your employees, a personal AI account
I need an idea to pitch my boss on Monday. What’s hot on TikTok Shop for Gen Z makeup?
Pitch a lip oil launch: glossy lip oils are taking over, with sales up 300% this year. Unverified data
Tagline: “Glow up your routine with our must-have lip oil!” Generic copyOutside our brand guidelines
Claim: clinically proven to plump lips in 1 hour. Outside our claims
Want me to turn this into slides for Monday?
Sources · a TikTok compilation · an affiliate blog · no date
Generic tools
Re-explained every time, and the output varies from one person to the next.
Unapproved tools
Briefs, launch plans and pricing go into tools your IT has not approved.
No shared basis
Each team tests on its own, so no one can tell which process deserves an investment.
The longer each team experiments alone, the harder results are to compare, and the more company information sits in tools nobody approved.
How the audit works
A founder team or up to 6 teams: write-ups in week 1, walk-throughs through week 3, the readout in week 4. The 4 weeks hold at any size. The number of processes, walk-throughs and stakeholders sets the scope and the fee.
Week 0
Scope, sponsor, the interview list.
Week 1
3 to 5 processes per team, on our template.
Weeks 1 to 3
With the people who do the work: hours per step, errors.
Week 3
Every process placed, then tested on 4 criteria.
Week 4
With the people who decide: a verdict per process, 1 prioritized plan.
Then
When a build is justified, scoped separately: with us, your IT or another builder.
1 sponsor, 1 write-up per team, 45 minutes per lead for the walk-through, plus the kickoff and the readout. 3 to 5 processes each, rough steps, on our template. Outcoast does the rest.
The map and the checks
Each process is placed by output quality and time spent. Your teams’ write-ups replace these examples in week 1.
Output quality, by type of work
Illustrative map · the processes and positions are examples
4 possible verdicts
Hours go in, quality stays low, and the 4 checks pass.
A plain AI model or a tool you already pay for does the job.
The process or its data needs fixing before AI helps.
Fast and high quality already.
What you leave with
The plan works with any builder: with us, with your IT, or with another partner. Building is scoped separately.
Which AI tools your teams use today, on which accounts, with which data.
Every process placed by output quality and time spent, from the walk-throughs.
Build an agent, use an existing tool, fix the workflow first, or leave it as is.
What to do first, process by process, with an agent specification when a build is justified: scope, data, systems, owner.
The hours realistically recoverable, net of review and running costs, and the quality measure each change is judged on.
Who owns the agent, how the teams are trained, and the review dates where you decide to extend it.
Security and data
Signed before the kickoff, by default. It covers everything your teams share: write-ups, walk-throughs and documents.
Granted by your IT and limited to what the audit needs. Nothing is changed in your systems.
Who leads the audit
You speak with the people who frame the work and build the agents.
Advisor to Brand Presidents and GMs across luxury and consumer brands. In the audit, he frames the objectives with leadership, leads the walk-throughs and turns them into the prioritized plan.
Building enterprise software since 2014; founded Metriq (AI automation) and Tokamai (AI security). In the audit, he checks feasibility, data and security with your IT, and writes the agent specification.
The next step
Teams, processes and timing, set together. We’ll confirm whether the audit is a useful next step.
Or write to sofian@outcoast.ai
The questions we get
The questions brands ask before they start.
Yes. A founder team sends its processes the same way a larger brand’s 6 teams do. For indie brands, the plan can point to 1 of our ready-made agents.
You get the prioritized plan, with an agent specification when a build is justified: scope, data, systems, owner, measures. Building is scoped separately, with us, with your IT or with another builder.
It ends with a decision for every process, including the ones where the right answer is an existing tool, a fix to the workflow, or no change. Every document is yours to keep.
The plan names an owner, a time measure and a quality measure for each change, a business case that counts review and running costs, and review dates where you decide to extend it.
The verdict can be an existing tool, a workflow fix or no change, and the plan works with any builder: with us, with your IT, or with another partner.
Everything your teams share is covered by an NDA, signed before the kickoff. Where the audit reads a system, access is read-only, granted by your IT and limited to what the audit needs.
Your side is 1 sponsor, 1 write-up per team and 45 minutes per lead for the walk-through, plus the kickoff and the readout. Data readiness is 1 of the 4 checks in the audit, process by process.
Yes. It is a paid, fixed-scope engagement, quoted after the scoping call, once the teams, processes and markets are set.
2 dates matter. Since 2 February 2025, a brand must make sure the teams who use AI know how to use it (Article 4). Since 2 August 2026, images, audio or video generated by AI that could pass for real must be disclosed when you publish them (Article 50). The risk check flags which of your processes touch either.